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stat.ME2026
A closed-form sample size correction for always-valid inference with optional stopping
Mårten Schultzberg
Sequential tests that allow continuous monitoring are common in A/B experimentation. Power calculations for these tests require simulations that are hard to scale across many metri…
stat.ME2026
Nobody Puts Bonferroni in a Corner
Mårten Schultzberg
We argue that Bonferroni correction is a better choice for online experimentation than it is commonly given credit for. The case rests on four considerations. First, it is the simp…